Foundation Enablement: Custom Metrics

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If a metric is not submitted from one of the more than 700 Datadog integrations, it is considered a custom metric. Custom metrics help you track your application KPIs, such as the number of visitors, average customer basket size, request latency, or performance distribution for a custom algorithm.

Learning Objectives

Differentiate between custom metrics and OOTB metrics available in Datadog via integrations, logs, and APM.
Describe the four ways to submit a custom metric and understand the relationship between metric submission and metric type.
Explain the different strategies used to control and track custom metric usage, especially Metrics Without Limits™ (MWL) and estimated usage metrics.

language

English

Availability

0 available

length

minutes

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Custom Metrics

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Learning Objectives

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Prerequisite

Infrastructure Monitoring

Taking things to the next level

Become a Datadog Power User

Infrastructure Monitoring

Datadog Overview